v1v2v3 (latest)

Dataset Condensation with Gradient Matching

International Conference on Learning Representations (ICLR), 2025

10 June 2020

Papers citing "Dataset Condensation with Gradient Matching"

50 / 375 papers shown

Title
DistDD: Distributed Data Distillation Aggregation through Gradient Matching Peiran Wang Haohan Wang FedML DD 82 1 0 11 Oct 2024
MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization Yunlong Zhao Xiaoheng Deng Xiu Su Hongyan Xu Xiuxing Li Yijing Liu Shan You FedML DD 112 1 0 07 Oct 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation Mucong Ding Bang An Yuancheng Xu Anirudh Satheesh Furong Huang 111 1 0 03 Oct 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks S. Joshi Jiayi Ni Baharan Mirzasoleiman DD 360 2 0 03 Oct 2024
DRUPI: Dataset Reduction Using Privileged Information Shaobo Wang Yantai Yang Shuaiyu Zhang Chenghao Sun Weiya Li Xuming Hu Linfeng Zhang 145 3 0 02 Oct 2024
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 383 1 0 01 Oct 2024
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment Jiawei Du Xin Zhang Juncheng Hu Wenxin Huang Joey Tianyi Zhou DD 167 16 0 26 Sep 2024
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data Xiufang Shi Wei Zhang Mincheng Wu Guangyi Liu Z. Wen Shibo He Tejal Shah R. Ranjan DD FedML 127 1 0 26 Sep 2024
Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policies Ritwik Gupta Leah Walker Rodolfo Corona Stephanie Fu Suzanne Petryk Janet Napolitano Trevor Darrell Andrew W. Reddie ELM 105 6 0 25 Sep 2024
Label-Augmented Dataset Distillation Seoungyoon Kang Youngsun Lim Hyunjung Shim DD 143 2 0 24 Sep 2024
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models Jun-Yeong Moon Jung Uk Kim Gyeong-Moon Park DD 116 1 0 22 Sep 2024
Promoting Fairness in Link Prediction with Graph Enhancement Yezi Liu Hanning Chen Mohsen Imani 124 5 0 13 Sep 2024
A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption Marcus Rüb Philipp Tuchel Patrick Selle Daniel Mueller-Gritschneder 121 6 0 11 Sep 2024
Data-Efficient Generation for Dataset Distillation Zhe Li Weitong Zhang Sarah Cechnicka Bernhard Kainz DD 113 0 0 05 Sep 2024
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning Vyacheslav Kungurtsev Yuanfang Peng Jianyang Gu Saeed Vahidian Anthony Quinn Fadwa Idlahcen Yiran Chen FedML DD 196 3 0 02 Sep 2024
GSTAM: Efficient Graph Distillation with Structural Attention-Matching Arash Rasti-Meymandi A. Sajedi Zhaopan Xu Konstantinos N. Plataniotis 110 0 0 29 Aug 2024
UDD: Dataset Distillation via Mining Underutilized Regions Shiguang Wang Zhongyu Zhang Jian Cheng DD 106 0 0 29 Aug 2024
Condensed Sample-Guided Model Inversion for Knowledge Distillation Kuluhan Binici Shivam Aggarwal Cihan Acar N. Pham K. Leman Gim Hee Lee Tulika Mitra 116 1 0 25 Aug 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 180 4 0 24 Aug 2024
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation Shaobo Wang Yantai Yang Qilong Wang Kaixin Li Linfeng Zhang Junchi Yan DD 201 6 0 22 Aug 2024
Dataset Distillation for Histopathology Image Classification Cong Cong Shiyu Xuan Sidong Liu Maurice Pagnucco Shiliang Zhang Yang Song DD 94 1 0 19 Aug 2024
Generative Dataset Distillation Based on Diffusion Model Duo Su Junjie Hou Guang Li Ren Togo Rui Song Takahiro Ogawa Miki Haseyama VGen DD 158 10 0 16 Aug 2024
Heavy Labels Out! Dataset Distillation with Label Space Lightening Ruonan Yu Songhua Liu Zigeng Chen Jingwen Ye Xinchao Wang DD 160 2 0 15 Aug 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator Xin Zhang Jiawei Du Ping Liu Joey Tianyi Zhou DD 263 4 0 13 Aug 2024
Reciprocal Learning Julian Rodemann Christoph Jansen G. Schollmeyer FedML 157 0 0 12 Aug 2024
Prioritize Alignment in Dataset Distillation Zekai Li Ziyao Guo Wangbo Zhao Tianle Zhang Zhi-Qi Cheng ... Kaipeng Zhang A. Sajedi Konstantinos N Plataniotis Kai Wang Yang You DD 135 5 0 06 Aug 2024
MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis Dongwei Xu Jiajun Chen Yao Lu Tianhao Xia Qi Xuan Wei Wang Yun Lin Xiaoniu Yang 95 0 0 05 Aug 2024
One-Shot Collaborative Data Distillation William Holland Chandra Thapa Sarah Ali Siddiqui Wei Shao S. Çamtepe DD FedML 138 0 0 05 Aug 2024
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification Mridula Vijendran Frederick W. B. Li Jingjing Deng Hubert P. H. Shum 129 0 0 03 Aug 2024
Scaling Backwards: Minimal Synthetic Pre-training? Ryo Nakamura Ryu Tadokoro Ryosuke Yamada Tim Puhlfürß Iro Laina Christian Rupprecht Walid Maalej Rio Yokota Hirokatsu Kataoka DD 142 5 0 01 Aug 2024
Can Modifying Data Address Graph Domain Adaptation? Renhong Huang Jiarong Xu Xin Jiang Ruichuan An Yang Yang OOD 153 6 0 27 Jul 2024
D $^4$ M: Dataset Distillation via Disentangled Diffusion Model Duo Su Junjie Hou Weizhi Gao Yingjie Tian Bowen Tang DD 141 44 0 21 Jul 2024
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques A. Verdone A. Devoto C. Sebastiani J. Carmignani M. D’Onofrio S. Giagu S. Scardapane M. Panella 100 0 0 20 Jul 2024
Dataset Distillation in Medical Imaging: A Feasibility Study Muyang Li Can Cui Quan Liu Ruining Deng Tianyuan Yao Marilyn Lionts Yuankai Huo OOD DD 199 5 0 19 Jul 2024
DDFAD: Dataset Distillation Framework for Audio Data Wenbo Jiang Rui Zhang Hongwei Li Xiaoyuan Liu Haomiao Yang Shui Yu DD 125 2 0 15 Jul 2024
FYI: Flip Your Images for Dataset Distillation Byunggwan Son Youngmin Oh Donghyeon Baek Bumsub Ham DD 201 3 0 11 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Ruijie Du Yanning Shen DD 127 7 0 10 Jul 2024
Dataset Quantization with Active Learning based Adaptive Sampling Zhenghao Zhao Yuzhang Shang Junyi Wu Yan Yan DD 118 10 0 09 Jul 2024
Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning Binhao Ma Tianhang Zheng Hongsheng Hu Di Wang Shuo Wang Zhongjie Ba Zhan Qin Kui Ren AAML 113 5 0 06 Jul 2024
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 385 6 0 03 Jul 2024
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory Wenliang Zhong Haoyu Tang Qinghai Zheng Mingzhu Xu Yupeng Hu Liqiang Nie DD 111 3 0 28 Jun 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 238 4 0 26 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 125 25 0 21 Jun 2024
Behaviour Distillation Andrei Lupu Chris Xiaoxuan Lu Jarek Liesen R. T. Lange Jakob Foerster DD 136 6 0 21 Jun 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization Qianli Shen Yezhen Wang Zhouhao Yang Xiang Li Haonan Wang Yang Zhang Jonathan Scarlett Zhanxing Zhu Kenji Kawaguchi AI4CE 129 7 0 20 Jun 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 200 3 0 17 Jun 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 266 15 0 15 Jun 2024
Dataset Condensation with Latent Quantile Matching Wei Wei Tom De Schepper Kevin Mets DD 116 5 0 14 Jun 2024
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation Xinhao Zhong Hao Fang Bin Chen Xulin Gu Tao Dai Meikang Qiu Shu-Tao Xia DD 206 2 0 09 Jun 2024
What is Dataset Distillation Learning? William Yang Ye Zhu Zhiwei Deng Olga Russakovsky DD 137 8 0 06 Jun 2024